Package: boostrq
Type: Package
Title: Boosting Regression Quantiles
Version: 1.0.0
Authors@R: 
    person(given = "Stefan",
           family = "Linner",
           role = c("aut", "cre", "cph"),
           email = "stefan.linner97@gmail.com")
Description: Boosting Regression Quantiles is a component-wise boosting algorithm, 
             that embeds all boosting steps in the well-established framework 
             of quantile regression. It is initialized with the corresponding quantile, 
             uses a quantile-specific learning rate, and uses quantile regression as its base learner.
             The package implements this algorithm and allows cross-validation and stability selection. 
License: GPL (>= 2)
URL: https://github.com/stefanlinner/boostrq
BugReports: https://github.com/stefanlinner/boostrq/issues
Encoding: UTF-8
Depends: mboost, stabs, stats, parallel
Imports: quantreg, checkmate
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-03-02 08:53:32 UTC; stefa
Author: Stefan Linner [aut, cre, cph]
Maintainer: Stefan Linner <stefan.linner97@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:00:06 UTC
Built: R 4.6.0; ; 2026-04-25 16:24:01 UTC; unix
